{"id":"https://openalex.org/W2989186566","doi":"https://doi.org/10.1109/mis.2019.2952334","title":"Recognizing Nested Named Entity Based on the Neural Network Boundary Assembling Model","display_name":"Recognizing Nested Named Entity Based on the Neural Network Boundary Assembling Model","publication_year":2019,"publication_date":"2019-11-08","ids":{"openalex":"https://openalex.org/W2989186566","doi":"https://doi.org/10.1109/mis.2019.2952334","mag":"2989186566"},"language":"en","primary_location":{"id":"doi:10.1109/mis.2019.2952334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2019.2952334","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100419643","display_name":"Yanping Chen","orcid":"https://orcid.org/0000-0002-9946-3157"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Chen","raw_affiliation_strings":["Guizhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou University","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101960604","display_name":"Yuefei Wu","orcid":"https://orcid.org/0000-0002-1708-4074"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuefei Wu","raw_affiliation_strings":["Guizhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou University","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043572903","display_name":"Yongbin Qin","orcid":"https://orcid.org/0000-0002-1960-8628"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongbin Qin","raw_affiliation_strings":["Guizhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou University","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101687283","display_name":"Ying Hu","orcid":"https://orcid.org/0000-0002-4113-4369"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Hu","raw_affiliation_strings":["Guizhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou University","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379684","display_name":"Zeyu Wang","orcid":"https://orcid.org/0000-0001-7863-1070"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Wang","raw_affiliation_strings":["Guizhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou University","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044103045","display_name":"Ruizhang Huang","orcid":"https://orcid.org/0000-0002-8941-3914"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizhang Huang","raw_affiliation_strings":["Guizhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou University","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022915126","display_name":"Xinyu Cheng","orcid":"https://orcid.org/0000-0003-1330-3978"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Cheng","raw_affiliation_strings":["Guizhou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou University","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400329","display_name":"Ping Chen","orcid":"https://orcid.org/0000-0003-3789-7686"},"institutions":[{"id":"https://openalex.org/I33434090","display_name":"University of Massachusetts Boston","ror":"https://ror.org/04ydmy275","country_code":"US","type":"education","lineage":["https://openalex.org/I33434090"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ping Chen","raw_affiliation_strings":["University of Massachusetts Boston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Boston","institution_ids":["https://openalex.org/I33434090"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2707,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.85490584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"1","first_page":"74","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8832895159721375},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.760771632194519},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6464253664016724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5913333296775818},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5648297667503357},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5639010071754456},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.5557222366333008},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5377775430679321},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5356293320655823},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.5342938303947449},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5338479280471802},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49760082364082336},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48435863852500916},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46357017755508423},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.11891984939575195},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10998895764350891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8832895159721375},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.760771632194519},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6464253664016724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5913333296775818},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5648297667503357},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5639010071754456},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.5557222366333008},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5377775430679321},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5356293320655823},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.5342938303947449},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5338479280471802},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49760082364082336},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48435863852500916},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46357017755508423},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.11891984939575195},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10998895764350891},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mis.2019.2952334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2019.2952334","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G315033406","display_name":"\u653f\u5e9c\u516c\u5171\u5927\u6570\u636e\u8d44\u6e90\u5171\u4eab\u4e0e\u6cbb\u7406\u673a\u5236\u53ca\u5b9e\u8df5\u7814\u7a76","funder_award_id":"91746116","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8225248995","display_name":null,"funder_award_id":"U1836205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1899784274","https://openalex.org/W2047477415","https://openalex.org/W2102650742","https://openalex.org/W2108218871","https://openalex.org/W2136848157","https://openalex.org/W2250710764","https://openalex.org/W2396888487","https://openalex.org/W2407338347","https://openalex.org/W2626680156","https://openalex.org/W2740006839","https://openalex.org/W2760146825","https://openalex.org/W2804221886","https://openalex.org/W2890459330","https://openalex.org/W2896457183","https://openalex.org/W2948533454","https://openalex.org/W2949257977","https://openalex.org/W2950281195","https://openalex.org/W2952594430","https://openalex.org/W2952664794","https://openalex.org/W2962929649","https://openalex.org/W2963341956","https://openalex.org/W2963418779","https://openalex.org/W3102603416","https://openalex.org/W3105338216","https://openalex.org/W3106312823","https://openalex.org/W4297747548","https://openalex.org/W6712280556","https://openalex.org/W6714112401","https://openalex.org/W6736096391","https://openalex.org/W6749669830","https://openalex.org/W6755207826","https://openalex.org/W6762953081"],"related_works":["https://openalex.org/W2186562580","https://openalex.org/W3198729192","https://openalex.org/W4255258373","https://openalex.org/W2593907245","https://openalex.org/W3000685722","https://openalex.org/W2520117834","https://openalex.org/W626980589","https://openalex.org/W4313162113","https://openalex.org/W1884363728","https://openalex.org/W3133906981"],"abstract_inverted_index":{"The":[0],"task":[1],"to":[2,43,84,119],"recognize":[3,44,85],"named":[4,46,66,87],"entities":[5],"is":[6,21,60,82,107],"often":[7,41],"modeled":[8],"as":[9],"a":[10,16,37,52,61,124],"sequence":[11],"labeling":[12],"process,":[13],"which":[14,64,115],"selects":[15],"label":[17],"path":[18],"whose":[19],"probability":[20],"maximum":[22],"for":[23,77],"an":[24,139],"input":[25,34],"sentence.":[26],"Because":[27],"it":[28,40,137],"makes":[29],"the":[30,33,97,104,110,117,143,147,150],"assumption":[31],"that":[32],"sentence":[35,125],"has":[36],"flattened":[38],"structure,":[39],"fails":[42],"nested":[45,86],"entities.":[47],"In":[48,101,134],"our":[49,135],"previous":[50],"work,":[51],"boundary":[53],"assembling":[54],"(BA)":[55],"model":[56,81,106,118],"was":[57],"proposed.":[58],"It":[59],"cascading":[62],"framework,":[63],"identifies":[65],"entity":[67,75],"boundaries":[68],"first,":[69],"and":[70],"then":[71],"assembles":[72],"them":[73],"into":[74],"candidates":[76],"further":[78],"assessment.":[79],"This":[80],"effective":[83],"entities,":[88],"but":[89],"still":[90],"suffers":[91],"from":[92],"poor":[93],"performance":[94],"caused":[95],"by":[96,126],"sparse":[98],"feature":[99],"problem.":[100],"this":[102],"article,":[103],"BA":[105],"remodeled":[108],"with":[109],"advancement":[111],"of":[112,123,149],"neural":[113],"networks,":[114],"enables":[116],"capture":[120],"semantic":[121],"information":[122],"using":[127],"word":[128],"embeddings":[129],"pretrained":[130],"in":[131,155],"external":[132],"resources.":[133],"experiments,":[136],"shows":[138],"impressive":[140],"improvement":[141],"on":[142],"final":[144],"performance,":[145],"outperforming":[146],"state":[148],"art":[151],"more":[152],"than":[153],"17%":[154],"F-score.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}